Data Engineer II, Marketing Measurement, CMO Onboard Team
US, WA, Virtual Location - Washington
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...Are you passionate about Amazon scale Big Data, Machine Learning and the ever growing Amazon's advertising & marketing landscape? If yes, this is the team for you!
In this role, you will be owning first-of-its-kind data-management solution integrating Amazon 1P data with 3P data from advertising entities in privacy & security compliant manner to optimize Amazon's advertising and marketing dollars.
The Consumer Behavior Analytics (CBA) organization is strategically and uniquely organized with SDEs, DEs, Product managers, Data/Applied Scientists and Economists to solve challenging predictive analytics problems at Amazon scale by providing data driven actionable insights.
As a Data Engineer, you will be tasked with leading internal and external data acquisition and processing to building innovative machine learning products to optimize delivery of relevant and performant advertising experiences to customers. As a trusted senior engineering leader you will be given some of the most difficult data management, processing and intelligence generation problems to solve. You will need to develop and/or invent elegant mechanisms and cutting edge infrastructure processing capabilities that drive big data algorithms .
You will operate as a mix of hands-on builder, and influencer. You will work closely with engineers and scientists contributing to the ongoing development and evolution of the underlying machine learning systems and algorithms. While you will spend the bulk of the time spent as a builder for delivering your own data processing solutions but will be expected to review, influence and support similar development in other areas.
As a mentor, you will be a strong partner with science, product and engineering managers, supporting the skill and career development of junior scientists and engineers and educating the broader tech community strategic role of scientific innovations in furthering the advertising business.
You’ll be expected to:
· Design data processing systems and algorithms for optimizing marketing spend across Amazon and its Subsidiaries.
· Build systems that extract and process volumes of disparate data using a variety of econometric and machine learning approaches. These systems should be designed to scale with exponential growth in data and run continuously.
· Leverage knowledge of big data technologies, advanced software systems, business intelligence reporting and algorithm development to build our measurement and optimization engines.
· Serve as a technical lead on our most demanding, cross-functional projects and mentor a team of data engineers and junior machine learning scientists to deliver solutions to internal stakeholders including other modeling teams at Amazon.
· Contribute intellectual property through patent generation.
· Functionally decompose complex problems into simple, straight-forward solutions.
· Understand system inter-dependencies and limitations as well as analytic inter-dependencies to build efficient solutions.
Key job responsibilities
As a Data Engineer you'll will work with stakeholders and partners to provide measurement solutions across multiple businesses. You'll provide technical thought leadership in design of future measurement system and infrastructure.
Basic Qualifications
MS/BS in Computer Science, Systems Engineering or Electrical Engineering or Applied Mathematics or equivalent.
2+ years of broad software engineering experience including infrastructure and application development
Proven track record of leading the delivery of large-scale, high-quality systems
Experience using at least one of Python, Java, Scala, Spark Hands-on experience working with R/Matlab/Python or any other statistical language/package is required
2+ year experience programming in Java and or C/C++
Knowledge of statistical modeling techniques, e.g., logistic regression, decision trees, SVMs, neural networks
Experience with Agile Management, OO Modeling, UNIX, and database related projects
Preferred Qualifications
-Preferred qualificationsExperience working in a complex, service oriented software development
Experience working on automated marketing technologies
Four years' experience working on advertising measurement and optimization. Three years' experience working on analytics software
Experience working with AWS Services, consuming, managing large scale datasets.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Big Data Business Intelligence C++ Computer Science Data management Engineering Machine Learning Mathematics Matlab Privacy Python R Scala Security Spark Statistical modeling Statistics
Perks/benefits: Career development
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